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第45卷第4期 南京医科大学学报(自然科学版)
2025年4月 Journal of Nanjing Medical University(Natural Sciences) ·443 ·
·专题研究:肿瘤·
基于临床及MR影像特征评估直肠癌新辅助放化疗疗效的临床
研究
孟慧慧 ,余 静 ,吴飞云 1*
1,2
1
南京医科大学第一附属医院放射科,江苏 南京 210029;南京医科大学附属逸夫医院放射科,江苏 南京 211100
1 2
[摘 要] 目的:基于临床及磁共振成像影像特征,探讨评估局部进展期直肠癌新辅助放化疗后病理完全缓解(pathological
complete response,pCR)的危险因素。方法:回顾性分析2014年12月—2022年11月经活检及临床诊断为局部进展期直肠癌且
经过新辅助放化疗后行全直肠系膜切除的 175 例患者,按 7∶3 的比例随机分为训练组和验证组。训练组 122 例,其中 pCR
组 30 例,非完全病理缓解(non⁃pCR)组92例;其余53例为验证组(pCR组10例,non⁃pCR组43例)。收集治疗前后患者的临床
资料、影像检查及病理学数据。采用单因素、多因素Logistic回归分析局部进展期直肠癌新辅助治疗疗效。采用受试者工作特
征(receiver operating characteristic,ROC)曲线评估预测因素的诊断效能,计算曲线下面积(area under curve,AUC)、截断值、灵
敏度、特异度,并采用DeLong检验比较AUC值的差异。结果:治疗前后肿块长径、治疗前后壁外深度、治疗后癌胚抗原值、治疗
后肿块周围淋巴结状态、治疗前后壁外血管侵犯、治疗后的影像T分期及N分期、直肠系膜筋膜在pCR组和non⁃pCR组间差异
有统计学意义,经单因素及多因素Logistic回归分析发现,治疗后壁外深度为评估新辅助放化疗疗效的独立危险因素。治疗后
壁外深度在训练组和验证组中对预测新辅助放化疗疗效有较好的诊断效能。训练组和验证组的 AUC 值分别为 0.783 和
0.765,截断值分别为0.555和0.627,灵敏度分别为0.870和0.852,特异度分别为0.733和0.773。经Hosmer⁃Lemeshow拟合优度
检验后差异无统计学意义。结论:评估肿瘤侵犯壁外深度有助于评估局部进展期直肠癌新辅助放化疗后pCR率,为临床提供
了方便无创的诊断手段,指导临床个体化治疗。
[关键词] 局部进展期直肠癌;新辅助放化疗;磁共振成像;壁外深度
[中图分类号] R735.37 [文献标志码] A [文章编号] 1007⁃4368(2025)04⁃443⁃10
doi:10.7655/NYDXBNSN241039
Evaluate the efficacy of neoadjuvant chemoradiotherapy for locally advanced rectal
cancer based on clinical and MR image data
1,2
1
MENG Huihui ,YU Jing ,WU Feiyun 1*
Department of Radiology,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029;Department
1 2
of Radiology,Sir Runrun Hospital,Nanjing Medical University,Nanjing 211100,China
[Abstract] Objective:To explore the risk factors of pathological complete response(pCR)after neoadjuvant chemoradiotherapy in
locally advanced rectal cancer based on clinical and magnetic resonance imaging(MRI)data. Methods:A retrospective analysis was
conducted on 175 patients diagnosed with locally advanced rectal cancer through biopsy and clinical diagnosis from December 2014 to
November 2022,who underwent total mesorectal excision(TME)after neoadjuvant chemoradiotherapy. These patients were randomly
divided into a training set and a validation set in a 7∶3 ratio. The training set included 122 patients,with 30 in the pCR group and 92 in
the non⁃pCR group;the remaining 53 patients served as the validation set(10 in the pCR group and 43 in the non⁃pCR group). Clinical
data,imaging examination and pathological data of patients before and after treatment were collected. Univariate and multivariate
logistic regression analyses were used to evaluate the efficacy of neoadjuvant treatment in locally advanced rectal cancer. The
diagnostic efficacy of predictive factors was evaluated by receiver operating characteristic(ROC)curve. The diagnostic efficacy of
predictive factors was assessed using the receiver operating characteristic(ROC)curve,calculating the area under the curve(AUC),cut
[基金项目] 江苏省科教能力提升工程(JSDW202243)
通信作者(Corresponding author),E⁃mail:wfy_njmu@163.com(ORCID:0000⁃0002⁃3479⁃369X)
∗

